Seems like title cleanup is a good use for an LLM actually. (Not to remove the human option, but as the first smarter pass instead of simple stopword lists.)
How does this compare to DataHub? I have been comparing the two and I don't have any pros/cons that really help me pick. What I've noticed:
* It seems like DataHub has an async Kafka ingestion approach while OpenMetadata is API
* It seems that the data model of OpenMetadata can be extended/modified by API calls while DataHub only allows for changes to be made in code (in a forked version, no less) and deployed.
* It seems that DataHub comes with more data types out-of-the-box such as JSON Schema